Coup d’oeil sur 100 ans de lutte aux mauvaises herbes au Québec
Bibliographic record
Abstract
À l’occasion du centenaire de la SPPQ, nous jetons un bref coup d’oeil sur la lutte aux mauvaises herbes au cours du siècle dernier. En relatant des moments historiques de la malherbologie au Québec, nous regardons de quelle manière les préoccupations, les problèmes et surtout les solutions ont traversé le temps. Les structures, les organisations et les acteurs ont changé. La santé humaine, l’environnement et l’agriculture durable sont devenus incontournables et indissociables. De nouvelles avenues sont développées, tels que les OGM, qui s’avèrent révolutionnaires comparativement aux méthodes conventionnelles. En 2008, malgré toutes les techniques et moyens mis à notre disposition, la lutte aux mauvaises herbes demeure une priorité dans la gestion des cultures. Les producteurs et productrices agricoles ont encore et de plus en plus besoin des connaissances issues de la recherche et de l’innovation en malherbologie.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".